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Multi-Ethnic Study of Atherosclerosis (MESA)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT00005487
Recruitment Status : Active, not recruiting
First Posted : May 26, 2000
Last Update Posted : May 9, 2022
Sponsor:
Information provided by (Responsible Party):
National Heart, Lung, and Blood Institute (NHLBI)

Study Description
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Brief Summary:
The Multi-Ethnic Study of Atherosclerosis (MESA) was initiated to study the correlates, predictors, and progression of subclinical cardiovascular disease (CVD) (disease detected non-invasively before it has produced clinical signs and symptoms) in a diverse population-based sample of men and women aged 45-84 who had no evidence of clinical CVD at baseline (www.mesa-nhlbi.org). During 2000-2002, 6,814 participants were recruited from six field centers (Forsyth County, NC; Northern Manhattan and the Bronx, NY; Baltimore City and Baltimore County, MD; St. Paul, MN; Chicago, IL; and Los Angeles County, CA). The ethnic composition of the recruited cohort was 38% Caucasian, 28% African American, 22% Hispanic, and 12% Chinese. An extensive baseline exam focused on critical CVD risk factors and subclinical disease measures. Five subsequent exams took place through 2018 to assess changes in these measures and to explore new innovative research questions. Cohort members are contacted annually to obtain information about intervening hospitalizations and outpatient cardiovascular-related procedures. Relevant medical records are abstracted and reviewed and clinical endpoints of interest are adjudicated. The study is comprised of one Coordinating Center, six Field Centers and one biospecimen repository.

Condition or disease
Atherosclerosis Cardiovascular Diseases Heart Diseases Coronary Artery Disease Coronary Disease Stroke Myocardial Infarction Heart Failure Diabetes Mellitus, Type 2 Hypertension Diabetes Mellitus

Detailed Description:

Background:

MESA was derived from an NHLBI Task Force on Research in Epidemiology and Prevention in which investigation of subclinical disease and its progression to clinical disease was recommended as a major focus for future NHLBI population studies. This was followed by a Special Emphasis Panel on Longitudinal Cohort Studies in 1995, which strongly recommended studies based on subclinical disease measures, and the inclusion of underrepresented minorities in population-based research. A subsequent Special Emphasis Panel on Use of Cardiac EBCT and MRI in Epidemiologic Studies of Cardiovascular Disease in 1996 recommended inclusion of carotid and cardiac MRI and EBCT in elucidating the progression of subclinical to clinical disease and identifying subclinical disease characteristics most strongly associated with increased risk. Requests for Proposals were released in 1997 and awards were made in 1999.

Design Narrative:

Participants were examined at baseline for evidence of subclinical CVD using cardiac computed tomography (CT), cardiac MRI, carotid ultrasound, flow-mediated brachial artery dilation, radial artery tonometry, ankle-brachial index measurement; established and putative laboratory risk markers; and socioeconomic, psychological, behavioral, and environmental characteristics. Selected baseline components were repeated and additional components such as spirometry, retinal photography, genotyping, cognitive function assessment and, in subsets, abdominal aortic CT, carotid MRI, cardiac MRI tagging for measures of regional myocardial function, were introduced over five subsequent examinations through 2018. Stored blood samples have been assayed for putative biochemical risk factors and stored for case-control studies. DNA has been extracted for study of candidate genes, genome-wide scanning, expression, and other -omics investigations, and lymphocytes were cryopreserved for possible immortalization.

MESA is unique in its composition of four ethnic groups, having a cohort free of clinical CVD at baseline, and having multiple - and in some cases unique - subclinical CVD measures over time in the same individuals. Data collected from a large number and variety of MESA ancillary studies, including major ancillary studies on air pollution, chronic lung disease, genetics, and sleep, further contribute to its uniqueness. For a list of all phenotypic data documentation and protocols, refer to the MESA website: www.mesa-nhlbi.org. The MESA data are available to qualifying investigators directly from the study and also through dbGaP (http://www.ncbi.nlm.nih.gov/gap) and BioLINCC (https://biolincc.nhlbi.nih.gov). A variety of stored biospecimens are also available from the study, including DNA, serum, plasma, and urine.

Study Design
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Layout table for study information
Study Type : Observational
Actual Enrollment : 6418 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Multi-Ethnic Study of Atherosclerosis (MESA)
Study Start Date : January 1999
Estimated Primary Completion Date : December 2024
Estimated Study Completion Date : December 2024

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Atherosclerosis

Groups and Cohorts
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Outcome Measures
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Primary Outcome Measures :
  1. CVD

Eligibility Criteria
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Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.


Layout table for eligibility information
Ages Eligible for Study:   45 Years to 84 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Participants were recruited from the MESA Study Field Centers.
Criteria
CVD free men and women aged 45-84 at baseline from the four race/ethnic groups.
Contacts and Locations
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Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00005487


Sponsors and Collaborators
National Heart, Lung, and Blood Institute (NHLBI)
Investigators
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Principal Investigator: Robyn McClelland University of Washington
Principal Investigator: Russell Tracy University of Vermont (biospecimen repository)
Principal Investigator: Steven Shea Columbia University
Principal Investigator: Wendy Post Johns Hopkins University
Principal Investigator: Norrina Allen Northwestern University
Principal Investigator: Karol Watson University of California, Los Angeles
Principal Investigator: James Pankow University of Minnesota
Principal Investigator: Gregory Burke Wake Forest University
More Information
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Additional Information:

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Haslam DE, Peloso GM, Guirette M, Imamura F, Bartz TM, Pitsillides AN, Wang CA, Li-Gao R, Westra JM, Pitkanen N, Young KL, Graff M, Wood AC, Braun KVE, Luan J, Kahonen M, Kiefte-de Jong JC, Ghanbari M, Tintle N, Lemaitre RN, Mook-Kanamori DO, North K, Helminen M, Mossavar-Rahmani Y, Snetselaar L, Martin LW, Viikari JS, Oddy WH, Pennell CE, Rosendall FR, Ikram MA, Uitterlinden AG, Psaty BM, Mozaffarian D, Rotter JI, Taylor KD, Lehtimaki T, Raitakari OT, Livingston KA, Voortman T, Forouhi NG, Wareham NJ, de Mutsert R, Rich SS, Manson JE, Mora S, Ridker PM, Merino J, Meigs JB, Dashti HS, Chasman DI, Lichtenstein AH, Smith CE, Dupuis J, Herman MA, McKeown NM. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med. 2021 Aug;14(4):e003288. doi: 10.1161/CIRCGEN.120.003288. Epub 2021 Jul 16.
McKeown NM, Dashti HS, Ma J, Haslam DE, Kiefte-de Jong JC, Smith CE, Tanaka T, Graff M, Lemaitre RN, Rybin D, Sonestedt E, Frazier-Wood AC, Mook-Kanamori DO, Li Y, Wang CA, Leermakers ETM, Mikkila V, Young KL, Mukamal KJ, Cupples LA, Schulz CA, Chen TA, Li-Gao R, Huang T, Oddy WH, Raitakari O, Rice K, Meigs JB, Ericson U, Steffen LM, Rosendaal FR, Hofman A, Kahonen M, Psaty BM, Brunkwall L, Uitterlinden AG, Viikari J, Siscovick DS, Seppala I, North KE, Mozaffarian D, Dupuis J, Orho-Melander M, Rich SS, de Mutsert R, Qi L, Pennell CE, Franco OH, Lehtimaki T, Herman MA. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia. 2018 Feb;61(2):317-330. doi: 10.1007/s00125-017-4475-0. Epub 2017 Nov 2.
Fretts AM, Follis JL, Nettleton JA, Lemaitre RN, Ngwa JS, Wojczynski MK, Kalafati IP, Varga TV, Frazier-Wood AC, Houston DK, Lahti J, Ericson U, van den Hooven EH, Mikkila V, Kiefte-de Jong JC, Mozaffarian D, Rice K, Renstrom F, North KE, McKeown NM, Feitosa MF, Kanoni S, Smith CE, Garcia ME, Tiainen AM, Sonestedt E, Manichaikul A, van Rooij FJ, Dimitriou M, Raitakari O, Pankow JS, Djousse L, Province MA, Hu FB, Lai CQ, Keller MF, Perala MM, Rotter JI, Hofman A, Graff M, Kahonen M, Mukamal K, Johansson I, Ordovas JM, Liu Y, Mannisto S, Uitterlinden AG, Deloukas P, Seppala I, Psaty BM, Cupples LA, Borecki IB, Franks PW, Arnett DK, Nalls MA, Eriksson JG, Orho-Melander M, Franco OH, Lehtimaki T, Dedoussis GV, Meigs JB, Siscovick DS. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 Nov;102(5):1266-78. doi: 10.3945/ajcn.114.101238. Epub 2015 Sep 9.
Dashti HS, Follis JL, Smith CE, Tanaka T, Cade BE, Gottlieb DJ, Hruby A, Jacques PF, Lamon-Fava S, Richardson K, Saxena R, Scheer FA, Kovanen L, Bartz TM, Perala MM, Jonsson A, Frazier-Wood AC, Kalafati IP, Mikkila V, Partonen T, Lemaitre RN, Lahti J, Hernandez DG, Toft U, Johnson WC, Kanoni S, Raitakari OT, Perola M, Psaty BM, Ferrucci L, Grarup N, Highland HM, Rallidis L, Kahonen M, Havulinna AS, Siscovick DS, Raikkonen K, Jorgensen T, Rotter JI, Deloukas P, Viikari JS, Mozaffarian D, Linneberg A, Seppala I, Hansen T, Salomaa V, Gharib SA, Eriksson JG, Bandinelli S, Pedersen O, Rich SS, Dedoussis G, Lehtimaki T, Ordovas JM. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. Am J Clin Nutr. 2015 Jan;101(1):135-43. doi: 10.3945/ajcn.114.095026. Epub 2014 Nov 26.
Tanaka T, Ngwa JS, van Rooij FJ, Zillikens MC, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J, Mikkila V, Renstrom F, Sonestedt E, Zhao JH, Chu AY, Qi L, Chasman DI, de Oliveira Otto MC, Dhurandhar EJ, Feitosa MF, Johansson I, Khaw KT, Lohman KK, Manichaikul A, McKeown NM, Mozaffarian D, Singleton A, Stirrups K, Viikari J, Ye Z, Bandinelli S, Barroso I, Deloukas P, Forouhi NG, Hofman A, Liu Y, Lyytikainen LP, North KE, Dimitriou M, Hallmans G, Kahonen M, Langenberg C, Ordovas JM, Uitterlinden AG, Hu FB, Kalafati IP, Raitakari O, Franco OH, Johnson A, Emilsson V, Schrack JA, Semba RD, Siscovick DS, Arnett DK, Borecki IB, Franks PW, Kritchevsky SB, Lehtimaki T, Loos RJ, Orho-Melander M, Rotter JI, Wareham NJ, Witteman JC, Ferrucci L, Dedoussis G, Cupples LA, Nettleton JA. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun;97(6):1395-402. doi: 10.3945/ajcn.112.052183. Epub 2013 May 1.

Layout table for additonal information
Responsible Party: National Heart, Lung, and Blood Institute (NHLBI)
ClinicalTrials.gov Identifier: NCT00005487    
Other Study ID Numbers: 5003
First Posted: May 26, 2000    Key Record Dates
Last Update Posted: May 9, 2022
Last Verified: May 2022
Keywords provided by National Heart, Lung, and Blood Institute (NHLBI):
Coronary Arteriosclerosis
Cerebrovascular Accident
Heart Failure, Congestive
Diabetes Mellitus, Non-Insulin Dependent
Additional relevant MeSH terms:
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Atherosclerosis
Heart Failure
Cardiovascular Diseases
Coronary Artery Disease
Coronary Disease
Myocardial Infarction
Diabetes Mellitus
Diabetes Mellitus, Type 2
Glucose Metabolism Disorders
Metabolic Diseases
 Endocrine System Diseases
Vascular Diseases
Heart Diseases
Infarction
Ischemia
Pathologic Processes
Necrosis
Myocardial Ischemia
Arteriosclerosis
Arterial Occlusive Diseases